Dimensionality reduction refers to the process of reducing the number of random variables under consideration, by obtaining a set of principal variables. In the context of catalysis, it involves simplifying the data without losing critical information, making it easier to analyze and interpret. This is particularly important due to the complex nature of catalytic systems, where numerous factors and parameters can influence the outcome.
